High resolution mapping of vegetation dynamics from Sentinel-2
(2012) 1st Sentinel-2 Preparatory Symposium In European Space Agency, (Special Publication) ESA SP 707 SP.- Abstract
The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in... (More)
The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in fitting smooth model functions to the data, and generating seasonality parameters for the test area at 10 × 10 m resolution. We conclude that TIMESAT will be useful for generating vegetation dynamics data from high-spatial resolution data such as Sentinel-2. The smooth seasonal profiles will be extremely useful for driving high-resolution biophysical vegetation models, and the seasonality parameters will be excellent for change detection, and for studying trends in vegetation productivity and seasonality.
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- author
- Eklundh, Lars LU ; Sjöström, Martin LU ; Ardö, Jonas LU and Jönsson, Per LU
- organization
- publishing date
- 2012-12-19
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of 1st Sentinel-2 Preparatory Symposium
- series title
- European Space Agency, (Special Publication) ESA SP
- volume
- 707 SP
- pages
- 7 pages
- conference name
- 1st Sentinel-2 Preparatory Symposium
- conference location
- Frascati, Italy
- conference dates
- 2012-04-23 - 2012-04-27
- external identifiers
-
- scopus:84871070928
- ISSN
- 0379-6566
- ISBN
- 9789290922711
- language
- English
- LU publication?
- yes
- id
- 179000b9-ce6a-4db9-b689-19459271ec21
- date added to LUP
- 2020-04-07 22:34:58
- date last changed
- 2022-03-26 03:23:17
@inproceedings{179000b9-ce6a-4db9-b689-19459271ec21, abstract = {{<p>The aim of this work is to develop and test a method for generation of information on vegetation dynamics from high-spatial resolution data, such as Sentinel-2. In order to accomplish this, Sentinel-2 data were simulated from existing SPOT HRG and HRVIR scenes over Sweden. We used TIMESAT, a well-tested computer package for generating smooth seasonal profiles and generation of seasonality parameters, like start and end, length, amplitude, integrated values, seasonal maximum, derivatives, etc. The processing works on a pixel-by-pixel basis and is resistant to clouds and noise. Data gaps are handled, and quality information can be included to increase the fidelity of the fits. The pilot study demonstrated that TIMESAT was successful in fitting smooth model functions to the data, and generating seasonality parameters for the test area at 10 × 10 m resolution. We conclude that TIMESAT will be useful for generating vegetation dynamics data from high-spatial resolution data such as Sentinel-2. The smooth seasonal profiles will be extremely useful for driving high-resolution biophysical vegetation models, and the seasonality parameters will be excellent for change detection, and for studying trends in vegetation productivity and seasonality.</p>}}, author = {{Eklundh, Lars and Sjöström, Martin and Ardö, Jonas and Jönsson, Per}}, booktitle = {{Proceedings of 1st Sentinel-2 Preparatory Symposium}}, isbn = {{9789290922711}}, issn = {{0379-6566}}, language = {{eng}}, month = {{12}}, series = {{European Space Agency, (Special Publication) ESA SP}}, title = {{High resolution mapping of vegetation dynamics from Sentinel-2}}, volume = {{707 SP}}, year = {{2012}}, }